Prospects for the use of artificial intelligence in the interpretation of legislation

Relevance. The relevance of using artificial intelligence in interpreting legislation is due to the exponential growth of unstructured data, the increase in their importance, as well as the increasing complexity of legal problems being solved. The use of artificial intelligence in interpreting legislation provides the opportunity to improve the quality of justice. To implement automatic meaningful processing of information, it is necessary to solve a set of scientific problems on the legal and technological aspects of using artificial intelligence.

The purpose of the study is to formulate scientifically based conclusions that determine the directions for solving the scientific problem of using artificial intelligence in interpreting legislation based on an analysis of the content of the structure of the legal norm and the processes of information processing in heuristic and neuromathematical cognitive systems of information processing.

Objectives: to determine the common features and differences of the processes of interpretation of legislation in heuristic and neuromathematical cognitive systems of artificial intelligence; to develop proposals for improving the regulatory framework for the interpretation of legislation, taking into account the possibility of using automatic semantic processing of information in computer systems, as well as for the development of technological methods of semantic interpretation of civil law norms in artificial intelligence systems.

Methodology. The methodological basis of the scientific research was the dialectical method of cognition of phenomena and processes of the surrounding reality. In the course of developing the theoretical provisions of the work, a set of general scientific and specific scientific research methods (formal-logical, prognostic, formal-legal, etc.) was used to solve the interdisciplinary scientific problem of determining the prospects for the use of artificial intelligence in the interpretation of legislation and automation of procedures for semantic processing of information in legal systems.

Results. The obtained research results provide the opportunity to improve the regulatory and technological framework that establishes the principles of using artificial intelligence in interpreting legislation.

Conclusion. The solution to the problem of using artificial intelligence in interpreting legislation requires the development of new legal norms and regulations, as well as the improvement of information technologies in terms of verifying the rules of production of heuristic artificial intelligence systems and verbalizing artificial neural networks.

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